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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 22925
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    Explanations

    references to legal or criminal events impact sports

    oai_token-act-pair · gpt-3.5-turbo

    instances of legal terms or discussions related to allegations of wrongdoing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ÂŃ
    -0.72
     GOODMAN
    -0.67
     attRot
    -0.62
    )—
    -0.62
    Furthermore
    -0.61
    "—
    -0.60
    ).[
    -0.59
    etheless
    -0.58
    âĢ³
    -0.58
    âĵĺ
    -0.58
    POSITIVE LOGITS
     ..."
    0.81
    ,...
    0.75
    ...?
    0.72
     </
    0.65
     explodes
    0.63
     ain
    0.62
    ornia
    0.62
    \'
    0.60
     Adds
    0.60
    ?,
    0.59
    Activations Density 1.390%

    No Known Activations